摘要
利用中尺度气象模式WRF与多尺度空气质量模式CMAQ系统模拟了试验期间(2005年1月30日—2月2日)兰州市城区SO2的地面浓度,分析了兰州市冬季污染物的空间分布特征,探析了复杂地形气象场对近地面污染物浓度分布的影响。研究结果表明受污染源排放特征和气象条件的综合影响,西固区和城关区各有一处SO2高浓度区域,夜间SO2地面污染范围小于日间,夜间污染物地面最大浓度高于日间,夜间模拟区域SO2平均浓度低于日间;水平流场、山谷风环流形成的垂直运动和垂直扩散均对污染物地面浓度有明显影响,研究结果可为兰州城市环境质量监测布点、空气污染防控与治理提供参考依据。
SO2 concentration in urban Lanzhou for the period of 30 Jan- 2 Feb was simulated using the Multi-scale Community Air Quality （CMAQ） model with meteorological field from the Weather Research and Forecasting （WRF） model. The spatial distribution of SO2 and its diurnal variations were analyzed focusing on the effect of mean wind and the vertical transport of pollutants by mountain-valley winds. Related to emission source distributions and meteorological conditions, there are two hot spots of high SO2 concentrations located in Xigu and Chengguan districts, respectively. The area with high SO2 concentrations in nighttime is smaller than that in daytime, and the maximum SO2 concentration at night was significantly higher than that in daytime. The mean wind and the vertical wind related to mountain-valley wind circulation have obvious influence on near surface SO2 concentrations. Results from this study would provide guidance on the sitting of air quality monitoring sites and air pollution mitigation.
出处
《沙漠与绿洲气象》
2015年第2期69-74,共6页
Desert and Oasis Meteorology
基金
自然科学基金资助项目41205077
兰州大学中央高校基本科研业务费专项资金资助:861450
关键词
污染物浓度
气象条件
空间分布
WRF
CMAQ
pollutant concentration
meteorological field
spatial distribution
WRF
CMAQ
